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This article is one in a series of reflections on strategic directions in higher, vocational and professional education. It is written with an audience of senior managers in learning organisations in mind. It is part one of eight. Each section has proposed actions for senior managers to consider.

The Challenge

Institutions operate in increasingly competitive environments. Funding is a challenge. Identifying and recruiting students, the right 'kind of students', is also a challenge. Even if you operate in an open educational context with barriers to access being largely absent you still need to ensure that students self-select the right programme of study, at the right time and that they are prepared, with whatever support required, to be successful.

The meta-view, including national agendas for widening participating, increasing transnational education and student mobility, as well as rapidly emerging disciplines and their associated unforeseen employment opportunities, all compound the challenge.

Who are your programmes designed for? This is not as straightforward a question as it first appears. The minimal 'market research' into new programmes carried out by many providers, whether by means of listening to international recruitment agents or industry leaders, risks producing ill-fitted programmes frequently in a rush to market. Sometimes running pilots, floating a balloon, tweaking an existing programme, even sometimes just changing the title on an existing programme, all can lead to the 'wrong' students embarking on your programmes. The number of programmes that are designed but never launch, or launch and under-recruit, is sizable.

Strategic Implications

The strategic implications of designing learning with learners in mind are profound. Not only is it important to ensure that the learning is designed to fit student needs and aspirations, but they must also reflect the nature of the institution, the professions they work with and prepare graduates to serve and to the societal service that any given institution claims to address.

A strategic approach to this student profiling;

  1. determines the 'fit' of the student to the programme ensures retention and progression
  2. predetermines learner support needs, and allows institutions to cost programmes accordingly
  3. acknowledges and develops unique cultures of learning, not least to account for governmental expectations
  4. aligns student participation with programme needs to fulfil institutional strategy, ethos and purpose.

At the heart of any learner's experience is their programme of study. Regardless of whether this is articulated as a curriculum, syllabus, programme, course or module outline, and whether it is strictly regulated and deemed formal or more loosely defined as non-formal education; the educational design is at the core of every learner's experience. Great marketing and recruitment processes attract learners and excellent support services work to retain students, but it is the relevance and efficacy of learners engagement with their programme is what matters most.

Profiling Students

There are two levels of profiling students. The first is the individual's epistemological framework (prior assumptions about the nature of knowledge) and the second is their, often unconscious, orientations to learning, their cultural, educational, circumstantial and dispositional influences. The first could be regarded as a higher, more abstract, perspective. The second more practical and easier to grasp. Both are important. The illustration at the top of this article, and reproduced again here,  represents an aide memoir for design groups and strategists to reflect on.

Strategic leaders need to pay attention to the orientation of the incoming students. The outer circle reflects the work that emerged from the POISE project (Atkinson 2014). The inner circle is an illustration of the work by Thomas and May (2010) in establishing the basis for developing inclusive learning approaches. Despite the fact that this work might originate from a desire to better integrate international students with domestic students and to recognise diversity and equality in teaching, it manifests itself as a very useful framework to allow tutors and students themselves to assess their own influences.

POISE Framework

The POISE Framework is an attempt to identify the epistemological assumptions of students, and their faculty, by exploring five facets of learning, the first letters of which stand for POISE: Pace, Ownership, Innateness, Simplicity and Exactness. In its most simplified form, it can be seen as the representation of five beliefs about knowledge represented as binary opposites.

This resulted in the following matrix.

Pneumonic Binary concept Belief statements (after (Schommer, 1990)) Scholarship roots
Pace Quick or not at all Learning is quick or not all (Quick Learning) (Schoenfeld, 1983)
Ownership Authority or Reason Knowledge is handed down by authority (Omniscient Authority) (Perry, 1968)
Innateness Innate or Acquired The ability to learn is innate rather than acquired (Innate Ability) (Dweck & Leggett, 1988)
Simplicity Simple or Complex Knowledge is simple rather than complex (Simple Knowledge) (Perry, 1968)
Exactness Certain or Tentative Knowledge is certain rather than tentative (Certain Knowledge) (Perry, 1968)

The notion of binaries presents an opportunity to engage in a ‘dialogue about beliefs’. It is appropriate to establish the beliefs about learning that underpin a student’s (or faculty member’s) approach to learning and teaching, rather than to identify a ‘problem’ and tackle it with an intervention in isolation.

For example, a challenge in many western universities is that students are not fully aware, or in tune with, the institution's guidance on plagiarism. It would be useful to introduce this dimension of academic practice by first exploring the question of whether knowledge is based on authority or reason. Without a fundamental understanding that the western academic tradition expects students to develop their own reasoning skills, and to acknowledge pre-existing authority in a particular way, one cannot effectively explore the detailed nature of academic referencing, citations and intellectual ownership.

The online POISE resource articulates this using five questions to explore each binary element. These could be woven into class tutorials, set as introductory work for debate or implemented in a learning support setting. Personally, I would prefer to see them integrated into students initial study as part of orientation work. Questioning one's assumptions is the basis for fresh learning.

Binary concept POISE Questions
Pace Quick or not at all Is hard work enough?
Ownership Authority or Reason Who has the answers?
Innateness Innate or Acquired Who is responsible for my learning?
Simplicity Simple or Complex Is there a simple answer?
Exactness Certain or Tentative Is there always a right answer?

Any airing of such deliberations at the beginning of any learning process, and revisiting them periodically, serves to properly orientate the learner.

ACTIONS: POISE

Review your policies for pre-enrolment engagement, recruitment and on-boarding of students. Consider sharing a contextualised version of the POISE questions with your students. Design a customised self-diagnostic tool that all incoming students complete that reflects back to them in the feedback how your institution values knowledge against each of these five questions. This will cause potential students to reflect on their expectations and relationship with the meaning-making process.

Once students have been enrolled you might review your pastoral and tutorial support. You may find it helpful to establish small-group seminars or one-to-one tutorials and work through each of the five questions in a non-judgemental context. In doing so teaching staff come to understand the degree of homogeneity within a cohort and also, in some cases, to contrast the approaches of their students to their own.

Framework for Inclusion

The second epistemological dimension of the student, before and after enrollment, that requires some attention falls under different names. It will appear in reference to an institution's equality and diversity agenda, widening participation or inclusion strategies. In some countries, these are mandated by funders, in others, they are less formally expressed but are usually present in any growth and recruitment strategy.

Much of tertiary education globally is seeing its student population becoming ever more diverse, and disparate with increasing part-time, distance provision growing.  We know that different groups of students have different rates of success, measured by retention, completion and attainment. It is critical institutions either declare their focus (where they are expressly exclusive: male only, Catholic only, etc)  or risk disadvantaging specific groups of students.

Working in a way that advocates equality, diversity and inclusion (EDI) universally enhance the learning experience of all students. So we can use the matrix define by Taylor and May (2010) to not only value the contribution of students regardless of their backgrounds and appreciate, in an active sense, the contributions individuals bring from different value systems, enriching the experience of everyone, we can also use it to assess the 'fit' of students to programme.

ORIENTATIONS INFLUENCES
Dispositional Identity; self-esteem; confidence; motivation; aspirations; expectations; preferences; attitudes; assumptions; beliefs; emotional intelligence; maturity; learning styles; perspectives; interests; self-awareness; gender; sexuality.
Educational Level/type of entry qualifications; skills; ability; knowledge; previous educational experience; life and work experience; learning approaches.
Circumstantial Age; disability; paid/voluntary employment; caring responsibilities; geographical location; access to IT and transport services; flexibility; time available; entitlements; financial background and means; marital status.
Cultural Language; values; cultural capital; religion and belief; country of origin/residence; ethnicity/race; social background

All of these factors will express themselves in the values, attitudes and orientations to learning amongst your student population. Giving an early opportunity for individuals to express their views, without judgement, as to how meaning is made, how knowledge is acquired, curated and exchanged. A supportive dialogue about a student's relationship with knowledge allows the student to identify how they may need to adjust their own approaches to learning. Although I do not recognise the constructs referred to as 'learning styles', I do believe there are important orientations to learning that are contextually and culturally specific and are acquired as language is from infancy.

ACTIONS: INCLUSION

Faculty and learning support staff: the four things institutions can do are to make sure that all faculty and learning support staff are equipped with the skills to anticipate their diverse students' needs, to reflect on their own orientations, to encourage learning designers to build flexible approaches to learning to accommodate difference and to do so in collaboration with students themselves. This means valuing the professional development of your faculty and learning support staff.

Be Upfront: the strategic advantages of not delegating these concerns to the back-end student support service and bringing them right up front in your pre-enrolment and onboarding activities with students are that you are much more likely to create a community in which each individual brings their real self to the community and is valued for their unique contribution. Institutions may want to have anonymous discussion boards that allow prospective students to share their readiness to learn.

Reflect on Materials: Students will always connect more effectively with learning materials that are relevant to them. Materials can be alienating for learners. Cultural references or unfamiliar contexts can slow the learning process. You need to ensure your materials are easily ‘translatable’ from one cultural context to another. Instruct your materials design teams to adopt an inclusive matrix as a  quality enhancement mechanism.

How should institutions respond?

There are three possible strategic responses to this challenge.
Ignore it. We continue to design courses that fit into our educational structures and work harder at selling them to students in general.
Accommodate it. We attempt to incorporate some of the principles suggested here, perhaps implementing a version of POISE questions in our tutorial support structures, establishing an orientation questionnaire based on the four dimensions of the learner's context, and possibly implementing some diagnostic assessment at the beginning of each course or module.
Embrace it. Design orientation questionnaires and data capturing processes that inform the discussion between the student and their institution. Explore options for student-defined learning outcomes and assessment models, implement real-world, in-place, situated, flexible learning options, micro-credit accumulation frameworks leading to awards, and begin to redefine our institutions as enablers and validators of learning rather than curators of knowledge.

There is an old adage about a container ship leaving Tokyo and being just one degree out on its course heading to San Francisco and missing the United States completely. I have not checked the geography but the implications are clear. Pointing students in the right direction is our first strategic challenge.

Consultancy support is available institutions that feel they would benefit from an external review of their strategies, policies and practices. See Consultancy pages.

References

Atkinson, S. P. (2014) Rethinking personal tutoring systems: the need to build on a foundation of epistemological beliefs. BPP University Working Papers. London: BPP University.

Dweck, C. S., & Leggett, E. L. (1988). A social-cognitive approach to motivation and personality. Psychological Review95(2), 256–273.

Perry, W. G. (1968). Patterns of Development in Thought and Values of Students in a Liberal Arts College: A Validation of a Scheme. Final Report. Office of Education (DHEW), Washington, DC. Bureau of Research.

Schoenfeld, A. H. (1983). Beyond the Purely Cognitive: Belief Systems, Social Cognitions, and Metacognitions As Driving Forces in Intellectual Performance*. Cognitive Science7(4), 329–363.

Schommer, M. (1990). Effects of beliefs about the nature of knowledge on comprehension. Journal of Educational Psychology82(3), 498–504.

Thomas, L., & May, H. (2010). Inclusive learning and teaching in higher education (p. 72). York: Higher Education Academy. Retrieved from http://www.heacademy.ac.uk/system/files/inclusivelearningandteaching_finalreport.pdf

(extracts from a draft Working Paper)

Following a review of institutional websites in October 2014 it is clear that the vast majority of UK higher education institutions have explicit policy statements relating to the provision of personal tutoring (80%) with the remainder stating such support in more obtuse references or in delegated documents at faculty or departmental level. Whilst the overwhelming preference is to use the term 'personal tutors' other refinements such as 'personal academic tutors' are also used alongside aligned roles such as 'year tutor' and 'Dean of students'. Approximately 50% UK HEIs on their public webpages reference the use of personal development planning (PDP) alongside personal tutor support. At least 75% provide detailed web support for students defining the role of personal tutors alongside a range of other support services. It is noticeable that this is an active area of policy development with over 80% of policy statements having been updated in 2013 or 2014. The preference for over 90% of institutions is for a fairly traditional blend of personal guidance usually under the guise of:

  • Academic guidance
  • Academic support
  • Career planning
  • Pastoral support

This closely follows the benchmarking documents issued by Watts in 1999, when arguably there was more homogeneity in provision, who following an analysis of the role of personal advisers in post-compulsory education, stated the purpose of effective provision was:

  • Providing ongoing support in an established relationship;
  • Providing ongoing support in an established relationship;
  • Providing holistic guidance incorporating both academic and personal information advice and guidance;
  • Referrals to other support specialists;
  • Personal advocacy in the form of references and representation.

(Watts, 1999)

Higher Education Academy, in its work on widening participation, outlined a similar set of benchmarks with increasingly diverse communities in mind. The resulting recommendations suggest that personal tutoring comprises:

  • To provide of a stable point of contact within the University;
  • To provide guidance on higher education processes and procedures and expectations;
  • To provide academic feedback and development aimed at orientation of new students to academic demands;
  • personal welfare support;
  • To provide referral to sources of further information;
  • To build the institutional relationship and the sense of belonging.

(Thomas, 2006)

This ‘model’ of personal tutorial support was born at a time when institutions were largely ‘campus-based’ and many of them ‘residential campus-based’ with the vast majority of students living-in halls. It also originates in a highly selective environment when significantly less than the current target of 50% of school leavers attending further or higher education. The reality of plurality in provision surely require equally diverse responses. Ultimately institutions may need to relinquish ownership of its custodial relationship with the students and instead replace it with a system that empowers students to search for relevant support. The increasing diversity of the student body, drawn from all sections of society, regions, countries, nationality, and ages as well differing modes of study from online participation and distance study, to workplace and off-campus programs, surely questions the models of support but have stood scrutiny for so long. Given there is nearly universal agreement of the need for students to have access to ‘learning support’ this is the logical place to begin to assess provision.

Theoretical Models of Learning Support

The role of the personal tutor, under what name and guise, has been the subject of extensive writings although relatively little empirical research, with some subject or domain specific exceptions (Burk & Bender, 2005; Powell & Mason, 2013; Symonds, Lawson, & Robinson, 2007). Research focuses on cohort studies and deal primarily with subject skills specific support. There has been little research linking motivational and psychological factors with the operation of tutor support. Burke and Bender (2005) found that despite the formal support mechanisms in place students frequently relied on themselves and their informal peer networks. They also noted a gender difference with female students going outside the institution more frequently than their male counterparts. Studies addressing the needs of a particular demographic are frequently too generic to be of value in policy planning although some large international comparison studies to provide useful insights. Whilst the importance of student support services as a measure of institutional attractiveness alongside its academic, teaching and research profile is highlighted by studies (Kelo & Rogers, 2010) the actually uptake of services contradicts this assertion.

Studies relating to student support mechanisms have tended to focus on the question of retention and progress. One notable theoretical position by Vincent Tinto, described as Interactionalist Theory, is concerned with the early departure of students from colleges and universities. This work focuses primarily on the fear of failure by students and the failure of the institution to create a sense of community of belonging (Tinto, 1993). This work has been influential particularly in the US in influencing morals of student support but its emphasis has been on a traditional campus community despite that one empirical study could find only a single institution supported only 5 of Tinto’s original 13 propositions (Berger & Braxton, 1998).

More recent attempts by Ormond Simpson to develop theory of learner support in the context of distance learning is invaluable in basing its conclusion in the fields of learning and motivational psychology. Summoning Dweck's self theory and Anderson's advocacy for proactive support, Simpson suggests that there is a noticeable institutional benefit in the retention of students through development of alternative models of learning skills development and support. We should exercise caution however since Anderson suggests that remediation (intervention to support failing study skills) risk demotivating learners over time (Clifton & Anderson, 2002) and there is evidence that even learners who are made familiar with their personal learning style may not find any correlation with their motivation for learning (Jelfs, Richardson, & Price, 2009). There is broad agreement that study skills alone are insufficient and that motivation proves critical, with notable US research with school leavers identifying that students who receive self efficacy training have a higher retention rate than those receiving learning skills alone (Barrios, 1997).

Anderson and Clifton have advocated a "strengths approach" in researching the importance of self-esteem in the learning process. The premise is that individuals do best when they focus on their strengths rather than their weaknesses and therefore focusing on those weaknesses may not be a particularly effective way of improving success. Rather they suggest that the identification and support for existing strengths, and understanding the means to transfer those skills for effective study, proves long-term gains. Anderson and Clifton identify some 30 strengths which can be explored in a face-to-face programme of encounters over number will of weeks (Clifton & Anderson, 2002) however Boniwell has suggested a nine-point approach for the relevant member of staff to use with individual students. This 9 point approach follows:

  1. Emphasising positive dimensional is during initial contact.
  2. Focusing on existing strengths and competencies.
  3. Identifying past success and achievement.
  4. Encourage "positive affect", building on hope and aspiration.
  5. Identify underlying values, goals and motivations.
  6. Exploring personal stories, the rating one's own life story.
  7. Identifying resources and support.
  8. Validating effort rather than achievement.
  9. Finally: exploring uncertainties and lack of skills.

(Boniwell, 2003 cited in Simpson, 2008)

Whilst Boniwell suggest some means to facilitate these conversations between staff and students should be enabled by institutions, the reality is many faculty would find such empathic discussions difficult.

Work by Vansteenkiste resulting in a "self-determination theory" identified that students performed best when they felt autonomous in their study choices (Vansteenkiste, Lens, & Deci, 2006), whilst evidence from the Open University UK that students who have a choice of study material and participate three options have the maximum student retention (Tresman, 2002). Most programmes of study however have been designed with deadlines, fixed content and rigid assessment processes make such findings difficult to implement in most institutions. Other theoretical models that explore notions of students self-identity include "achievement goal theory” in which one of three goals identifies students self orientation namely 1) mastery goals - to reach genuine competence, 2) performance goals - to demonstrate competence to others, 3) performance avoidance goals - to ensure avoiding perception of inadequacies (Skaalvik, 1997). Other researchers have concluded that there are complex social motivational factors involved and that there are reasons to pursue strategies that support performance goals as well as mastery goals (Harackiewicz, Barron, Pintrich, Elliot, & Thrash, 2002).

Vansteenkiste and colleagues carried out empirical studies that have shown that intrinsic goal framing (relative to extrinsic goal framing and no-goal framing) produces deeper engagement in learning activities. These orientations also ensure better conceptual learning and higher persistence at learning activities (Vansteenkiste et al., 2006). Within certain highly competitive disciplines and understanding of student motivation within this theoretical construct might prove valuable. Similarly work by Pajares also argues that self-belief and self-comprehension are important determinates in study success but such conceptions are frequently faulty (Pajares, 1996). Empirical studies examined students awareness of their own relative competence or incompetence and identified that whilst 60% of students had a realistic expectation of their own competence 20% had excessively unrealistic of their competence and 20% a negatively soft judgement regarding their competence (Pajares, 2004 cited in Simpson, 2008).

Study skills have become associated with an add-on provision based on an historical assumption that students enter university already equipped with the appropriate skills in order to undertake higher learning (N. Bennett, Dunne, & Carre, 2000). In an environment in which study skills are framed as remedial provision for students who arrive without the assumed skills, notably international students and 'non-traditional' students, are immediately disadvantaged (Cottrell, 2001). Most UK universities provide, usually provided by specialist study support centres situated within learning and teaching centres or within library services, opportunities for students to undertake writing enhancement programmes and individual tuition. Ursula Wingate argues that separating study skills from subject content and the process of learning is ineffective and that study skills should be more fully integrated within modules and programmes (Wingate, 2006). There is an argument to suggest that a full range of literacies should be integrated into the learning experience so bad in the knowledge driven world universities can prepare individuals to be 'fully literate'.

"…literacy can be taken from a wealth of dimensions other than reading and writing ability or numeracy: media literacy, active citizenship empowerment, financial literacy, basic technological skills, social and values (ethical) literacy, intercultural dialogue aptitude, health literacy, to mention just some." (Carneiro & Gordon, 2013, p. 476)

Unless as institutions we opt to educate to the syllabus without ambition we must surely consider the ways in which plural literacies in our disciplines should be framed. I have elsewhere argued that effectively designed learning outcomes using a full range of educational objective taxonomies should enable all the full range of higher education skills, a full range of literacies, to be acquired within modules and programmes if appropriately designed (Atkinson, 2013).

Bibliography

 

Atkinson, S. P. (2013). Taxonomy Circles: Visualizing the possibilities of intended learning outcomes. London: BPP University College.

Barrios, A. A. (1997). The Magic of the Mind (MOM) Program for Decreasing School Dropout. Retrieved from http://eric.ed.gov/?id=ED405436

Bennett, N., Dunne, E., & Carre, C. (Eds.). (2000). Skills Development in Higher Education and Employment. Buckingham England ; Philadelphia, PA: Open University Press.

Berger, J. B., & Braxton, J. M. (1998). Revising Tinto’s Interactionalist Theory of Student Departure through Theory Elaboration: Examining the Role of Organizational Attributes in the Persistence Process. Research in Higher Education, 39(2), 103–119.

Boniwell, I. (2003). Student retention and positive psychology. Presented at the Open University Student Retention Conference.

Burk, D. T., & Bender, D. J. (2005). Use and Perceived Effectiveness of Student Support Services in a First-Year Dental Student Population. Journal of Dental Education, 69(10), 1148–1160.

Carneiro, R., & Gordon, J. (2013). Warranting our Future: literacy and literacies. European Journal of Education, 48(4), 476–497. doi:10.1111/ejed.12055

Clifton, D. O., & Anderson, E. “Chip.” (2002). StrengthsQuest: Discover and Develop Your Strengths in Academics, Career, and Beyond (First Printing edition.). Washington, D.C.: The Gallup Organization.

Cottrell, D. S. (2001). Teaching Study Skills and Supporting Learning (First edition. Paperback edition.). Basingstoke: Palgrave Macmillan.

Harackiewicz, J. M., Barron, K. E., Pintrich, P. R., Elliot, A. J., & Thrash, T. M. (2002). Revision of achievement goal theory: Necessary and illuminating. Journal of Educational Psychology, 94(3), 638–645. doi:10.1037/0022-0663.94.3.638

Jelfs, A., Richardson, J. T. E., & Price, L. (2009). Student and tutor perceptions of effective tutoring in distance education. Distance Education, 30(3), 419–441. doi:10.1080/01587910903236551

Kelo, M., & Rogers, T. (2010). International student support in European higher education needs, solutions and challenges. Bonn: Lemmens.

Pajares, F. (1996). Self-Efficacy Beliefs in Academic Settings. Review of Educational Research, 66(4), 543–578. doi:10.3102/00346543066004543

Pajares, F. (2004). Self-efficacy theory: Implications and applications for classroom practice. Presented at the International Conference on Motivation “Cognition, Motivation and Effect,” Lisbon, Portugal.

Powell, C. B., & Mason, D. S. (2013). Effectiveness of Podcasts Delivered on Mobile Devices as a Support for Student Learning During General Chemistry Laboratories. Journal of Science Education and Technology, 22(2), 148–170. doi:10.1007/s10956-012-9383-y

Simpson, O. (2008). Motivating learners in open and distance learning: do we need a new theory of learner support? Open Learning: The Journal of Open, Distance and E-Learning, 23(3), 159–170. doi:10.1080/02680510802419979

Skaalvik, E. M. (1997). Self-enhancing and self-defeating ego orientation: Relations with task and avoidance orientation, achievement, self-perceptions, and anxiety. Journal of Educational Psychology, 89(1), 71–81. doi:10.1037/0022-0663.89.1.71

Symonds, R. J., Lawson, D. A., & Robinson, C. L. (2007). The effectiveness of support for students with non-traditional mathematics backgrounds. Teaching Mathematics and Its Applications, 26(3), 134–144. doi:10.1093/teamat/hrm009

Thomas, L. (2006). Widening participation and the increased need for personal tutoring. In L. Thomas & P. Hixenbaugh (Eds.), Personal tutoring in Higher Education (pp. 21–31). Trentham books. Retrieved from http://repository.edgehill.ac.uk/62/

Tinto, V. (1993). Leaving college: rethinking the causes and cures of student attrition (2nd ed.). Chicago ; London: University of Chicago Press.

Tresman, S. (2002). Towards a Strategy for Improved Student Retention in Programmes of Open, Distance Education: A Case Study From the Open University UK. The International Review of Research in Open and Distance Learning, 3(1). Retrieved from http://www.irrodl.org/index.php/irrodl/article/view/75

Vansteenkiste, M., Lens, W., & Deci, E. L. (2006). Intrinsic Versus Extrinsic Goal Contents in Self-Determination Theory: Another Look at the Quality of Academic Motivation. Educational Psychologist, 41(1), 19–31. doi:10.1207/s15326985ep4101_4

Watts, A. G. (1999). Watts, A.G.: “The Economic and Social Benefits of Career Guidance”. , No. 63, 1999. Educational and Vocational Guidance Bulletin, 63, 12–19.

Wingate, U. (2006). Doing away with “study skills.” Teaching in Higher Education, 11(4), 457–469. doi:10.1080/13562510600874268

 

(Extracted from a draft working paper)

One might expect this diversity in provision in Higher Education to be reflected in the personal tutoring support provided however there is remarkably little difference in the way in which support for students is organised and delivered. It suggest that there is value in unshackling support systems from existing language and historical practices.

There are variations in the terminology used according to country, nature of the institution, and indeed discipline. Mentoring and ‘pastoral care’ appears to be the preferred term in nursing and medicine where is academic ‘tutor’ takes preference in humanities disciplines. Much of the UK literature insists on contrasting institutional tutoring systems against the benchmark of the 'Oxbridge model'. Since the concept of a personal tutor was introduced into higher education clearly students are less homogeneous body than they might once had deemed to be.

Recent figures from the Santander group suggest that more than 22% of students choose to remain living in the family home with 66% citing cost as the main reason (Marsh, 2014). Another recent survey of 1000 students by Education Phase puts the figure of those at home at 23%, and suggests that on average students travelled 91 miles between home and University to attend studies (Arnett, 2014). This suggests that the idea of the non-residential commuter institution is becoming more common with a consequence of increased ‘blended-learning’ delivery.

An NUS report in October 2013 also suggested that 2% of students had sought counselling services in the previous year but 20% of students consider themselves to have a mental health issue with 13% having had suicidal thoughts. 92% of respondents in the NUS survey suggested they had experienced 'mental distress' with the main causes cited as coursework related (65%), exams (54%) and financial difficulties (47%). Over 25% of those surveyed had not shared their concerns with anyone and only 10% accessing the services provided by their institution (Froio, 2013).

Another significant emerging trends is for students to be working as an increased proportion of their time alongside study. A survey of 2128 students found 45% having a part-time job and 13% in full-time employment, much of which continues during term time as well as vacations. Most cite the need to earn money although it is interesting that 53% suggest that students identify their future employment prospects as a prime motivation (Gil, 2014). Universities typically suggest a limit between 10 and 15 hours of part-time work a week during term time some institutions attempt to prohibit students from working at all. Other restrictions on work face the increasing proportion of international students (UKCISA, 2013).

In 2012 – 13 the gender split of the HEI student population was 56.2% female and 43.8% male. But even a glance at the data begins to suggest the need for different models of support. The gender balance for part-time students were 60.5% female and 39.5% male, for full-time and sandwich students the split was 54.5% female and 45.5% male. We might expect there to be significant differences in the support provided for part-time students and that this might also address gender differences. For non-EU domiciled students, often referred to as 'international' students, the overall gender gap is less significant 49.2% female and 50.8% male. However if we look at other undergraduate study (other than towards achievement of a degree) there are interesting variations, female students make up 65.3% of those studying part-time as opposed to 34.7 of male students. Even before we explore the differences in age and domestic circumstance it is clear that there will be differences in the needs of students at different levels. Add to that complexity we might also include the 598,000 students who are studying wholly overseas but either registered at UK HEI or working towards an award given by a UK HEI in 2012-13 (www.hesa.ac.uk).

Clearly our HEIs represent incredibly diverse communities of learning and existing mechanisms for socialization and support are challenged by this heterogeneous student body. The ‘ideal’ of the Oxbridge College Tutor has persisted and much effort and resource is committed to try and replicate it regardless of contextual realities. What are the alternative approaches

Bibliography

Arnett, G. (2014, August 18). Students travel an average of 91 miles from home to attend university. The Guardian. Retrieved from http://www.theguardian.com/news/datablog/2014/aug/18/students-travel-average-91-miles-home-university

Froio, N. (2013, October 10). Number of university students seeking counselling rises 33%. The Guardian. Retrieved from http://www.theguardian.com/news/datablog/2013/oct/10/university-students-seeking-counselling-mental-health-uk

Gil, N. (2014, August 11). One in seven students work full-time while they study. The Guardian. Retrieved from http://www.theguardian.com/education/2014/aug/11/students-work-part-time-employability

Marsh, S. (2014, August 26). Rise of the live-at-home student commuter. The Guardian. Retrieved from http://www.theguardian.com/education/2014/aug/26/rise-live-at-home-student-commuter

UKCISA. (2013, August 23). UKCISA - Working during your studies. Retrieved October 26, 2014, from http://www.ukcisa.org.uk/International-Students/Study-work--more/Working-during-your-studies/

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